> Finished chain.
Observation: Answer: 3.777824273683966
Thought: I now know the final answer
Final Answer: Camila Morrone's age raised to the 0.43 power is 3.777824273683966.
> Finished chain.
"Camila Morrone's age raised to the 0.43 power is 3.777824273683966."
Using the tool decorator#
To make it easier to define custom tools, a @tool decorator is provided. This decorator can be used to quickly create a Tool from a simple function. The decorator uses the function name as the tool name by default, but this can be overridden by passing a string as the first argument. Additionally, the decorator will use the function’s docstring as the tool’s description.
from langchain.agents import tool
@tool
def search_api(query: str) -> str:
    """Searches the API for the query."""
    return "Results"
search_api
Tool(name='search_api', description='search_api(query: str) -> str - Searches the API for the query.', return_direct=False, verbose=False, callback_manager=<langchain.callbacks.shared.SharedCallbackManager object at 0x1184e0cd0>, func=<function search_api at 0x1635f8700>, coroutine=None)
You can also provide arguments like the tool name and whether to return directly.
@tool("search", return_direct=True)
def search_api(query: str) -> str:
    """Searches the API for the query."""
    return "Results"
search_api